aiAxonIQ is a full-stack observability platform built on open standards — OpenTelemetry and Prometheus — that lets you monitor logs, metrics, traces, and LLM calls from your entire stack in one place, with no vendor lock-in. This guide explains what aiAxonIQ is, who it's for, how it works, and how to start using it.
What is aiAxonIQ?
aiAxonIQ is a single platform for the three pillars of observability — logs, metrics, and traces — plus LLM observability for AI-powered features. Instead of stitching together separate tools for each signal, you send everything to aiAxonIQ over standard OpenTelemetry (OTLP) and Prometheus remote-write, and query it from one place. Because it speaks open standards end to end, your instrumentation stays portable: there is no proprietary agent and no query language to learn that only works here.
Who is aiAxonIQ for?
aiAxonIQ is built for engineering teams who want production-grade observability without per-host pricing surprises or vendor lock-in:
- Platform and SRE teams consolidating logs, metrics, and traces onto one open-standards backend.
- Developers who want distributed tracing and fast log search without running the storage themselves.
- Teams shipping AI features that need LLM observability — token usage, latency, and cost per model — in the same traces as everything else.
How does aiAxonIQ work?
The data path is built entirely on open protocols:
- Ingest — your services export telemetry over OTLP (HTTP or gRPC); metrics can also arrive via Prometheus remote-write. No proprietary agent is required.
- Process — logs, metrics, traces, and LLM spans are enriched and stored so they can be queried together, and pre-aggregated into rollups for fast dashboards.
- Query — you explore everything from one UI: full-text log search, distributed traces, metric dashboards with PromQL, alerting, SLOs, and LLM cost breakdowns.
Because ingestion is OpenTelemetry-native rather than retrofitted, the same instrumentation works with aiAxonIQ or any other OTel-compatible backend — the open standard is the integration.
What makes aiAxonIQ different?
- Open by design. Built on OpenTelemetry and Prometheus, so your data and instrumentation are never trapped behind a proprietary format.
- Predictable pricing. Usage is based on data volume — not per host, per user, or per feature SKU.
- LLM observability included. Monitoring for AI model calls — tokens, latency, and cost — is part of the platform, not a separate paid add-on.
- Full-stack in one place. Logs, metrics, traces, dashboards, alerting, SLOs, synthetic monitoring, and security events under one roof.
How is aiAxonIQ different from Datadog or Grafana?
aiAxonIQ overlaps with tools like Datadog, New Relic, Honeycomb, and Grafana Cloud, but leads with open standards and usage-based pricing instead of per-host billing and proprietary agents. We keep detailed, side-by-side feature and pricing comparisons up to date — see aiAxonIQ vs Datadog and aiAxonIQ vs Grafana Cloud.
Getting started with aiAxonIQ
If your services already emit OpenTelemetry, getting started is mostly pointing your exporter at aiAxonIQ — your existing instrumentation works as-is. From there you can search logs, follow traces, build metric dashboards, set alerts and SLOs, and watch LLM cost per feature. The free tier covers up to three services, so you can see your own telemetry flowing before committing anything. Explore the product or get in touch to set up your account.